发现 devops llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Handoff protocol for Rust multi-agent development system. Use when working as rust-architect, rust-developer, rust-testing-engineer, rust-performance-engineer, rust-security-maintenance, rust-code-reviewer, rus...
Use this skill when the user wants to create a new project, set up a new repository, or scaffold a new codebase. This includes when they say things like "create a new project", "set up a new app", or "initializ...
Analyzes user behavior and preferences from social media posts within a specific time period. This skill should be used when analyzing user data for personalized emotional companionship and behavior patterns.
Guide for creating Claude Code slash commands. Use when the user wants to create a new slash command, custom prompt shortcut, or workflow automation command for Claude Code. Helps define command structure, fron...
Create and improve Claude Code Skills following official best practices. Use when creating a skill, improving skill descriptions, fixing skill activation issues, or structuring skill directories.
Expert ML engineering covering model development, MLOps, feature engineering, model deployment, and production ML systems.
Expert cloud architecture covering AWS, GCP, Azure, multi-cloud strategy, cost optimization, and cloud-native design.
Expert prompt engineering for LLM applications including prompt design, optimization, RAG systems, agent architectures, and AI product development.
Expert analytics engineering covering data modeling, dbt development, data transformation, and semantic layer management.
Expert data science covering machine learning, statistical modeling, experimentation, predictive analytics, and advanced analytics.
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation.
Expert data analysis covering SQL, visualization, statistical analysis, business intelligence, and data storytelling.
Expert full-stack development covering frontend frameworks, backend services, databases, APIs, and deployment for modern web applications.
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Expert business intelligence covering dashboard design, data visualization, reporting automation, and executive insights delivery.
Expert sales engineering covering technical demos, solution design, RFP responses, POC management, and technical objection handling.
Expert mobile development covering iOS, Android, React Native, and Flutter for native and cross-platform applications.
Expert backend development covering API design, database architecture, microservices, message queues, caching, and system scalability.
Expert design systems leadership covering component libraries, design tokens, documentation, and design-development collaboration.
Manages a structured knowledge base of patterns, troubleshooting guides, best practices, and workflows. Activates when discovering reusable insights, solving technical problems, or establishing new standards. R...
Executes Exa AI search queries via unified Python CLI. Use when searching the web for current information, finding code examples, researching APIs, SDKs, or retrieving programming context for any library or fra...
Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /...
Orchestrates concurrent workstreams via Task tool for non-trivial requests. Decomposes complex tasks into 3-10 parallel agents with independent scopes and synthesizes results. Use when requests involve: (1) mul...
Browser automation and inspection for AI agents via WebSocket
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。